Research on Active Synchronous Control System of Hydraulic Press and Its Reliability Analysis

Author(s):  
Yingjian Deng
2012 ◽  
Vol 190-191 ◽  
pp. 819-824 ◽  
Author(s):  
Ying Jian Deng ◽  
Zhong Wei Liu

The giant hydraulic die press is our country national defense and the infrastructure essential equipment, the synchronous control system is the essential device to the giant forging hydraulic press, its synchronization control performance quality is good or bad will directly determine the quality of the product. This article through the proof of the theorem, gives the specific steps to achieve H∞ robust control algorithm. The simulation results show that: this control strategy has good inhibition to the change of system parameters, robustness is very strong, can well eliminate the system synchronization error.


2012 ◽  
Vol 190-191 ◽  
pp. 836-841
Author(s):  
Zhong Wei Liu ◽  
Ying Jian Deng

The giant hydraulic press is the essential equipment of our country national defense and the infrastructure. The hydraulic synchronous control system is the important constituent of the hydraulic press, it is very important in improving the dimension accuracy of the product, ameliorating the force standing state of the die forging hydraulic press frame, extending the life of the die forging hydraulic press body and the moulds. To use 300 MN die forging hydraulic press’s synchronous control system for reference, according to a giant die forging hydraulic press its own characteristics, design the synchronization control system. Through the establishment of the mathematic model of the system, and choose the sliding mode-PID control strategy and simulation, the results show that :using PID sliding-mode control strategy of synchronous control system, the eccentric moment after stability, can over a short period of time after the stagnation, quickly will move back to level calibration beam position, get close to zero static deviation. But using the common sliding mode-PID can not overcome the disturbance bringing by the parameter perturbation, so the corresponding nonlinear and intelligent control strategy is particularly necessary.


2020 ◽  
Vol 16 (11) ◽  
pp. 1826
Author(s):  
Li Zheng ◽  
Yang Jianwei ◽  
Yao Dechen ◽  
Wang Jinhai ◽  
Pang Qicheng

2010 ◽  
Vol 455 ◽  
pp. 206-210
Author(s):  
Jun Li Liu ◽  
Yan Yan Yan ◽  
G.Q. He

It discusses the reasons of the data transmission time delay and packets loss based on the theory of net data transmission. Aimed to the question of the time delay of data transmission and packets loss, the control system models are set up to analyze their influence to the performance of the control system. Based on the synchronous control model analysis with wireless data transmission, a method to control the system is reached with the state prediction when the communication error or data loss appears. It can control constantly when communication errors appear, and also it can get the most error period by numerical analysis.


Author(s):  
Fang Wang ◽  
Yong Bai ◽  
Feng Xu

Deepwater oil and gas explorations bring more safety and reliability problems for the dynamically positioned vessels. With the demands for the safety of vessel crew and onboard device increasing, the single control architecture of dynamic positioning (DP) system can not guarantee the long-time faultless operation for deeper waters, which calls for much more reliable control architectures, such as the Class 2 and Class 3 system, which can tolerate a single failure of system according to International Maritime Organization’s (IMO) DP classification. The reliability analysis of the main control station of DP Class 3 system is proposed from a general technical prospective. The fault transitions of the triple-redundant DP control system are modeled by Markov process. The effects of variation in component failure rates on the system reliability are investigated. Considering the DP operation involved a human-machine system, the DP operator factors are taken into account, and the human operation error failures together with technical failures are incorporated to the Markov process to predict the reliability of the DP control system.


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